alibaba / Tora - Conditional Complexity

Intro

Conditional complexity (also called cyclomatic complexity) is a term used to measure the complexity of software. The term refers to the number of possible paths through a program function. A higher value ofter means higher maintenance and testing costs (infosecinstitute.com).
Conditional complexity is calculated by counting all conditions in the program that can affect the execution path (e.g. if statement, loops, switches, and/or operators, try and catch blocks...).
Conditional complexity is measured at the unit level (methods, functions...).
Units are classified in four categories based on the measured McCabe index: 1-5 (simple units), 6-10 (medium complex units), 11-25 (complex units), 26+ (very complex units).

Learn more...

Conditional Complexity Overall

There are 2,038 units with 21,778 lines of code in units (67.0% of code).

0 very complex units (0 lines of code)
8 complex units (760 lines of code)
56 medium complex units (2,333 lines of code)
189 simple units (4,924 lines of code)
1,785 very simple units (13,761 lines of code)

Legend:

51+

26-50

11-25

6-10

1-5

Alternative Visuals

3D view of all units

Conditional Complexity per Extension

51+

26-50

11-25

6-10

1-5

Conditional Complexity per Logical Component

primary logical decomposition

51+

26-50

11-25

6-10

1-5

Most Complex Units

Top 50 most complex units

Unit	# lines	McCabe index	# params
def get_args() in modules/SwissArmyTransformer/sat/arguments.py	107	38	2
def get_args() in sat/arguments.py	107	36	2
def _zero3_load_from_state_dict() in modules/SwissArmyTransformer/sat/training/model_io.py	68	35	8
def train_step() in modules/SwissArmyTransformer/sat/training/deepspeed_training.py	86	35	9
def load_checkpoint() in modules/SwissArmyTransformer/sat/training/model_io.py	69	34	5
def sampling_main() in sat/sample_video.py	176	32	2
def tar_file_iterator_with_meta() in modules/SwissArmyTransformer/sat/data_utils/webds.py	67	28	3
def train() in modules/SwissArmyTransformer/sat/training/deepspeed_training.py	80	26	9
def step() in modules/SwissArmyTransformer/sat/ops/fused_ema_adam.py	70	25	7
def forward() in modules/SwissArmyTransformer/sat/model/transformer.py	134	24	7
def forward() in modules/SwissArmyTransformer/sat/generation/sampling_strategies/beam_search_strategy.py	73	23	4
def EncodeAsIds() in modules/SwissArmyTransformer/sat/tokenization/glm/tokenization.py	53	22	3
def training_main() in modules/SwissArmyTransformer/sat/training/deepspeed_training.py	91	21	8
def get_params_for_weight_decay_optimization() in modules/SwissArmyTransformer/sat/training/deepspeed_training.py	29	21	1
def _is_chinese_char() in modules/SwissArmyTransformer/sat/tokenization/glm/tokenization_wordpiece.py	11	20	2
def evaluate() in modules/SwissArmyTransformer/sat/training/deepspeed_training.py	64	18	9
def make_dataset_full() in modules/SwissArmyTransformer/sat/data_utils/configure_data.py	58	18	9
def partition() in modules/SwissArmyTransformer/sat/mpu/layers.py	47	18	3
def get_model() in modules/SwissArmyTransformer/sat/model/base_model.py	36	16	3
def make_data_loader() in modules/SwissArmyTransformer/sat/data_utils/configure_data.py	61	16	5
def make_loaders() in modules/SwissArmyTransformer/sat/data_utils/configure_data.py	46	16	3
def has_function() in modules/SwissArmyTransformer/sat/ops/ops_builder/builder.py	49	16	4
def attention_fn_default() in modules/SwissArmyTransformer/sat/transformer_defaults.py	28	15	8
def layer_forward_default() in modules/SwissArmyTransformer/sat/transformer_defaults.py	45	15	5
def __init__() in modules/SwissArmyTransformer/sat/model/finetune/lora2.py	51	15	10
def reinit() in modules/SwissArmyTransformer/sat/model/finetune/lora2.py	42	15	2
def zero3_state_dict() in modules/SwissArmyTransformer/sat/training/model_io.py	30	15	5
def log_conditionings() in sat/diffusion_video.py	24	15	3
def generate_continually() in modules/SwissArmyTransformer/sat/generation/utils.py	43	14	2
def collect_hooks_() in modules/SwissArmyTransformer/sat/model/base_model.py	33	14	1
def from_pretrained() in modules/SwissArmyTransformer/sat/model/base_model.py	55	14	11
def from_pretrained() in modules/SwissArmyTransformer/sat/model/base_model.py	55	14	11
def attention_fn() in modules/SwissArmyTransformer/sat/model/official/gptneo_model.py	37	14	9
def __init__() in modules/SwissArmyTransformer/sat/tokenization/glm/tokenization.py	24	14	3
def filling_sequence_cuda2d() in modules/SwissArmyTransformer/sat/generation/cuda2d_sampling.py	65	13	6
def print_parser() in modules/SwissArmyTransformer/sat/helpers.py	29	13	2
def jit_load() in modules/SwissArmyTransformer/sat/ops/ops_builder/builder.py	37	13	2
def disable_untrainable_params() in sat/diffusion_video.py	37	13	1
def auto_create() in modules/SwissArmyTransformer/sat/resources/download.py	35	12	4
def __init__() in modules/SwissArmyTransformer/sat/data_utils/webds.py	33	12	9
def __iter__() in modules/SwissArmyTransformer/sat/data_utils/samplers.py	21	12	1
def __iter__() in modules/SwissArmyTransformer/sat/data_utils/configure_data.py	27	12	1
def __init__() in modules/SwissArmyTransformer/sat/data_utils/jsonlds.py	28	12	6
def _is_punctuation() in modules/SwissArmyTransformer/sat/tokenization/glm/tokenization_wordpiece.py	9	12	1
def mp_split_model_rank0() in modules/SwissArmyTransformer/sat/mpu/operation.py	25	12	3
def compute_capability_args() in modules/SwissArmyTransformer/sat/ops/ops_builder/builder.py	33	12	2
def encode() in sat/sgm/modules/autoencoding/magvit2_pytorch.py	27	12	5
def standard_attention() in modules/SwissArmyTransformer/sat/transformer_defaults.py	19	11	8
def mlp_forward_default() in modules/SwissArmyTransformer/sat/transformer_defaults.py	36	11	4
def _init_weights() in modules/SwissArmyTransformer/sat/model/official/t5_model.py	30	11	4